Elon Musk’s new AI, Grok 3it is already official. Among its promoted capabilities is a function called ‘Deep Search’, suspiciously similar to the Deep Research that Google coined and copied Openai. It is normal: in recent weeks we have seen almost all IA giants announcing similar capabilities.
It is a new trend in AI that goes beyond incremental improvements. These systems can navigate the web, analyze multiple sources, synthesize information and produce detailed reports on an issue. And with a level of sophistication that is dangerously approaching the work of many human analysts. In any field.
The difference with traditional applications is great. Instead of returning some Tokens In seconds, they return information pages in minutes. And neither does it have anything to do with searches: it does not return a list of semantically related links, but can understand complex questions, decompose them in parts, investigate each aspect by consulting dozens of sources and assemble a coherent analysis citing their references. In less than ten minutes.
The results are impressive. OpenAI said – and we are verifying that it is basically true – that Your Deep Research can do in half an hour what would take days to professional analysts. And although it makes occasional mistakes (such as a factual skate, or the appointment of a source that does not exist), the general quality of the result is good enough for many practical purposes.
This supposes A shot to the flotation line of much of the current intellectual work. The analysts junior of consultants, the researchers who review literature, the lawyers who prepare preliminary reports or the financial advisors doing business analysis. A great portion of your work is to collect, synthesize and present information that you drink from many sources.
Like any Deep Research.
It is not that these systems will completely replace intellectual workers. They still have important limitations:
- They cannot access private or not published information.
- From time to time they confuse sources or draw erroneous conclusions.
- They lack the expert criteria for certain analysis.
Nevertheless, They can already automate much of the repetitive work and “low level” that occupies many professionals today.
This also leads us to A paradox: Deep Research systems will surely increase the productivity of the most qualified workers, who can take advantage of them to enhance their ability; But the jobs that used to serve as entry, training field to end up being one of those experts are put at risk.
The Deep Research have potential to alter the professional trajectories of any knowledge -based industry.
It is another example of how AI not only automates manual work, but also It goes into territories that we believed reserved for the human intellect. The question is no longer whether IA can do that intellectual work, but how much of that work will continue to make economic meaning if it is made pro human.
There will be companies that due to ignorance, for cynicism or pride will prefer to ignore these capacities. They are the most exposed will be at the risk of being left behind. For the rest of us, We have as a pending task to think about how to manage this transition: The one that can make obsolete many functions that we believed automation.
In Xataka | With Grok 3, Elon Musk presume
Outstanding image | OpenAI